Evidence map›Paper›PMID 30581771›Full record

ReviewFrontiers in oncology2018

Technical Advances in Single-Cell RNA Sequencing and Applications in Normal and Malignant Hematopoiesis.

Xiang-Tao Huang, Xi Li, Pei-Zhong Qin, Yao Zhu, Shuang-Nian Xu, Jie-Ping Chen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Wastewater microbial diversity versus molecular analysis at a glance: a mini-review.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Pseudo-Temporal Analysis of Single-Cell RNA Sequencing RevealsFrontiers in molecular neuroscience · 2022
    Article
  12. Review
  13. Review
  14. Tuning MPL signaling to influence hematopoietic stem cell differentiation and inhibit essential thrombocythemia progenitors.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Single-cell transcriptomic analysis reveals the immune landscape of lung in steroid-resistant asthma exacerbation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Xiang-Tao HuangCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xi LiCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Pei-Zhong QinCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Yao ZhuCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Shuang-Nian XuCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jie-Ping ChenCenter of Haematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Southwest Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has been tremendously developed in the past decade owing to overcoming challenges associated with isolation of massive quantities of single cells. Previously, cell heterogeneity and low quantities of available biological material posed significant difficulties to scRNA-seq. Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of normal and malignant hematopoietic cells; this heterogeneity has often been ignored in omics studies. The application of scRNA-seq has profoundly changed our comprehension of many biological phenomena, including organ development and carcinogenesis. Hematopoiesis, is actually a maturation process for more than ten distinct blood and immune cells, and is thought to be critically involved in hematological homeostasis and in sustaining the physiological functions. However, aberrant hematopoiesis directly leads to hematological malignancy, and a deeper understanding of malignant hematopoiesis will provide deeper insights into diagnosis and prognosis for patients with hematological malignancies. Here, we aim to review the recent technical progress and future prospects for scRNA-seq, as applied in physiological and malignant hematopoiesis, in efforts to further understand the hematopoietic hierarchy and to illuminate personalized therapy and precision medicine approaches used in the clinical treatment of hematological malignancies.

Indexed as

hematological malignancyhematopoietic hierarchymalignant hematopoiesisnormal hematopoiesissingle-cell RNA sequencing

Identifiers

PMID30581771
PMCPMC6292934
OpenAlexW2904665717

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.